mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
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fc4260bdae
The main source of warnings was the use of `%d` for printing a templated type `T`, where `T` could be any cl_ scalar or vector type. Introduce `print_expected_obtained`. It takes const references to handle alignment of the cl_ types. Define `operator<<` for all types used by the subgroup tests. Ideally those would be template functions enabled by TypeManager data, but that requires some more work on the TypeManager (which we'd ideally do after more warnings have been enabled). So for now, define the `operator<<` instances using preprocessor defines. Also fix a few instances where the wrong format specifier was used for `size_t` types. Signed-off-by: Sven van Haastregt <sven.vanhaastregt@arm.com> Signed-off-by: Sven van Haastregt <sven.vanhaastregt@arm.com>
225 lines
8.5 KiB
C++
225 lines
8.5 KiB
C++
//
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// Copyright (c) 2021 The Khronos Group Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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#include "procs.h"
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#include "subhelpers.h"
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#include "subgroup_common_templates.h"
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#include "harness/typeWrappers.h"
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namespace {
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std::string sub_group_clustered_reduce_source = R"(
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__kernel void test_%s(const __global Type *in, __global int4 *xy, __global Type *out,
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uint cluster_size) {
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Type r;
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int gid = get_global_id(0);
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XY(xy,gid);
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xy[gid].w = 0;
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Type v = in[gid];
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if (sizeof(in[gid]) == sizeof(%s(v, 1))) {
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xy[gid].w = sizeof(in[gid]);
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}
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switch (cluster_size) {
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case 1: r = %s(v, 1); break;
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case 2: r = %s(v, 2); break;
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case 4: r = %s(v, 4); break;
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case 8: r = %s(v, 8); break;
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case 16: r = %s(v, 16); break;
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case 32: r = %s(v, 32); break;
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case 64: r = %s(v, 64); break;
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case 128: r = %s(v, 128); break;
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}
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out[gid] = r;
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}
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)";
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// DESCRIPTION:
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// Test for reduce cluster functions
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template <typename Ty, ArithmeticOp operation> struct RED_CLU
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{
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static void log_test(const WorkGroupParams &test_params,
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const char *extra_text)
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{
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log_info(" sub_group_clustered_reduce_%s(%s, %zu bytes) ...%s\n",
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operation_names(operation), TypeManager<Ty>::name(),
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sizeof(Ty), extra_text);
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}
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static void gen(Ty *x, Ty *t, cl_int *m, const WorkGroupParams &test_params)
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{
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int nw = test_params.local_workgroup_size;
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int ns = test_params.subgroup_size;
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int ng = test_params.global_workgroup_size;
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ng = ng / nw;
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generate_inputs<Ty, operation>(x, t, m, ns, nw, ng);
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}
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static test_status chk(Ty *x, Ty *y, Ty *mx, Ty *my, cl_int *m,
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const WorkGroupParams &test_params)
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{
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int nw = test_params.local_workgroup_size;
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int ns = test_params.subgroup_size;
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int ng = test_params.global_workgroup_size;
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int nj = (nw + ns - 1) / ns;
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ng = ng / nw;
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for (int k = 0; k < ng; ++k)
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{
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std::vector<cl_int> data_type_sizes;
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// Map to array indexed to array indexed by local ID and sub group
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for (int j = 0; j < nw; ++j)
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{
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mx[j] = x[j];
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my[j] = y[j];
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data_type_sizes.push_back(m[4 * j + 3]);
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}
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for (cl_int dts : data_type_sizes)
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{
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if (dts != sizeof(Ty))
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{
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log_error("ERROR: sub_group_clustered_reduce_%s(%s) "
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"wrong data type size detected, expected: %zu, "
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"used by device %d, in group %d\n",
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operation_names(operation),
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TypeManager<Ty>::name(), sizeof(Ty), dts, k);
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return TEST_FAIL;
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}
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}
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for (int j = 0; j < nj; ++j)
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{
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int ii = j * ns;
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int n = ii + ns > nw ? nw - ii : ns;
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std::vector<Ty> clusters_results;
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int clusters_counter = ns / test_params.cluster_size;
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clusters_results.resize(clusters_counter);
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// Compute target
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Ty tr = mx[ii];
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for (int i = 0; i < n; ++i)
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{
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if (i % test_params.cluster_size == 0)
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tr = mx[ii + i];
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else
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tr = calculate<Ty>(tr, mx[ii + i], operation);
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clusters_results[i / test_params.cluster_size] = tr;
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}
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// Check result
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for (int i = 0; i < n; ++i)
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{
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Ty rr = my[ii + i];
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tr = clusters_results[i / test_params.cluster_size];
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if (!compare(rr, tr))
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{
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log_error(
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"ERROR: sub_group_clustered_reduce_%s(%s, %u) "
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"mismatch for local id %d in sub group %d in group "
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"%d\n",
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operation_names(operation), TypeManager<Ty>::name(),
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test_params.cluster_size, i, j, k);
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return TEST_FAIL;
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}
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}
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}
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x += nw;
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y += nw;
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m += 4 * nw;
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}
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return TEST_PASS;
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}
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};
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template <typename T>
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int run_cluster_red_add_max_min_mul_for_type(RunTestForType rft)
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{
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int error = rft.run_impl<T, RED_CLU<T, ArithmeticOp::add_>>(
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"sub_group_clustered_reduce_add");
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error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::max_>>(
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"sub_group_clustered_reduce_max");
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error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::min_>>(
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"sub_group_clustered_reduce_min");
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error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::mul_>>(
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"sub_group_clustered_reduce_mul");
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return error;
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}
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template <typename T> int run_cluster_and_or_xor_for_type(RunTestForType rft)
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{
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int error = rft.run_impl<T, RED_CLU<T, ArithmeticOp::and_>>(
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"sub_group_clustered_reduce_and");
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error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::or_>>(
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"sub_group_clustered_reduce_or");
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error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::xor_>>(
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"sub_group_clustered_reduce_xor");
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return error;
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}
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template <typename T>
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int run_cluster_logical_and_or_xor_for_type(RunTestForType rft)
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{
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int error = rft.run_impl<T, RED_CLU<T, ArithmeticOp::logical_and>>(
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"sub_group_clustered_reduce_logical_and");
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error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::logical_or>>(
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"sub_group_clustered_reduce_logical_or");
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error |= rft.run_impl<T, RED_CLU<T, ArithmeticOp::logical_xor>>(
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"sub_group_clustered_reduce_logical_xor");
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return error;
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}
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}
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int test_subgroup_functions_clustered_reduce(cl_device_id device,
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cl_context context,
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cl_command_queue queue,
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int num_elements)
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{
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if (!is_extension_available(device, "cl_khr_subgroup_clustered_reduce"))
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{
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log_info("cl_khr_subgroup_clustered_reduce is not supported on this "
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"device, skipping test.\n");
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return TEST_SKIPPED_ITSELF;
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}
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constexpr size_t global_work_size = 2000;
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constexpr size_t local_work_size = 200;
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WorkGroupParams test_params(global_work_size, local_work_size, -1, 3);
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test_params.save_kernel_source(sub_group_clustered_reduce_source);
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RunTestForType rft(device, context, queue, num_elements, test_params);
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int error = run_cluster_red_add_max_min_mul_for_type<cl_int>(rft);
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error |= run_cluster_red_add_max_min_mul_for_type<cl_uint>(rft);
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error |= run_cluster_red_add_max_min_mul_for_type<cl_long>(rft);
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error |= run_cluster_red_add_max_min_mul_for_type<cl_ulong>(rft);
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error |= run_cluster_red_add_max_min_mul_for_type<cl_short>(rft);
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error |= run_cluster_red_add_max_min_mul_for_type<cl_ushort>(rft);
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error |= run_cluster_red_add_max_min_mul_for_type<cl_char>(rft);
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error |= run_cluster_red_add_max_min_mul_for_type<cl_uchar>(rft);
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error |= run_cluster_red_add_max_min_mul_for_type<cl_float>(rft);
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error |= run_cluster_red_add_max_min_mul_for_type<cl_double>(rft);
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error |= run_cluster_red_add_max_min_mul_for_type<subgroups::cl_half>(rft);
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error |= run_cluster_and_or_xor_for_type<cl_int>(rft);
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error |= run_cluster_and_or_xor_for_type<cl_uint>(rft);
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error |= run_cluster_and_or_xor_for_type<cl_long>(rft);
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error |= run_cluster_and_or_xor_for_type<cl_ulong>(rft);
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error |= run_cluster_and_or_xor_for_type<cl_short>(rft);
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error |= run_cluster_and_or_xor_for_type<cl_ushort>(rft);
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error |= run_cluster_and_or_xor_for_type<cl_char>(rft);
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error |= run_cluster_and_or_xor_for_type<cl_uchar>(rft);
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error |= run_cluster_logical_and_or_xor_for_type<cl_int>(rft);
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return error;
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}
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